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Rice disease identification method based on improved CNN-BiGRU

In the field of precision agriculture, diagnosing rice diseases from images remains challenging due to high error rates, multiple influencing factors, and unstable conditions. While machine learning and convolutional neural networks have shown promising results in identifying rice diseases, they wer...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Yang Lu, Xiaoxiao Wu, Pengfei Liu, Hang Li, Wanting Liu
Hōputu: Artigo
Reo:Inglês
I whakaputaina: KeAi Communications Co., Ltd. 2023-09-01
Rangatū:Artificial Intelligence in Agriculture
Ngā marau:
Urunga tuihono:http://www.sciencedirect.com/science/article/pii/S2589721723000284
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